Topic： Fast Time-Domain Simulation Using Semi- Analytic Solutions of Power System DAEs

Lecturer: Dr. Kai Sun Assistant Professor, the University of Tennessee

Time： 2:00-3:30 pm, May 13, 2015

Site： 3-102, West Main-building

Abstract：This presentation introduces an alternative, semi-analytical approach to solution of the initial value problem of power system differential-algebraic equations. Different from the traditional numerical integration based approach, this new approach applies the Adomian Decomposition Method to derive an approximate solution, called a semi-analytic solution, as a closed-form explicit function of time, the initial state and parameters on the system condition. Such a solution directly describes the system’s trajectory being accurate over a certain time window. Then, a multi-stage scheme repeatedly applying that solution for sequential time windows is able to give the system’s trajectory for a desired simulation period without iterative computations at each time step as numerical integration does. The time performance of the new approach for time-domain simulation is compared with the traditional Runge–Kutta method.

聯系人:梅生偉（94778）

About the Speaker:

Kai Sun is an Assistant Professor with the Department of Electrical Engineering and Computer Science in the University of Tennessee, Knoxville. He is also a member with the CURENT (Center for Ultra-Wide-Area-Resilient Electric Energy Transmission Networks). Kai Sun received a Bachelor’s Degree in Automation in 1999 and a Ph.D. degree in control science and engineering in 2004 from Tsinghua University in Beijing, China.

Before coming to the UTK, Dr. Sun was a Project Manager with the EPRI (Electric Power Research Institute) in Palo Alto, California from 2007 to 2012 for the R&D programs in Grid Operations and Planning and Renewable Integration. Earlier, he worked as a research associate at Arizona State University in Tempe and a postdoctoral fellow at the University of Western Ontario in London, Ontario. His current research activities focus on wide-area measurements based power system analysis and control, and complex systems.